The AI in Transportation and Smart Mobility in Amman is a forward-focused training course designed to help professionals harness AI for modernizing mobility and infrastructure systems.
From:
08-12-2025
Course Overview
Artificial Intelligence is driving the future of smart mobility and intelligent transportation systems. This AI in Transportation and Smart Mobility Training Course introduces participants to applications of AI in traffic management, logistics optimization, autonomous vehicles, and urban mobility solutions.
Participants will analyze case studies from smart cities and global transport networks, exploring how AI improves safety, efficiency, and sustainability. Through practical exercises and scenario planning, they will gain the tools to apply AI in real-world transportation projects.
By the end of the course, attendees will understand how to design, implement, and manage AI-powered mobility strategies that address the challenges of congestion, emissions, and growing urbanization.
Course Benefits
Understand AI’s role in smart mobility and transport innovation
Apply analytics to optimize logistics and fleet management
Explore AI in traffic control and intelligent transport systems
Assess opportunities and risks of autonomous mobility
Build strategies for sustainable, AI-driven transportation
Course Objectives
Explore AI applications in transportation and urban mobility
Use analytics for logistics, routing, and fleet optimization
Apply AI in traffic prediction and congestion management
Understand autonomous vehicle technologies and challenges
Evaluate AI-enabled smart city transportation initiatives
Address ethical, safety, and regulatory aspects of mobility AI
Build strategies for sustainable and intelligent transport
Training Methodology
The course combines expert-led lectures, global mobility case studies, simulations, and group activities. Participants will work with urban and logistics datasets to apply AI to transportation challenges.
Target Audience
Transportation and mobility planners
Smart city and urban development leaders
Logistics and fleet management professionals
Policy-makers in transport and infrastructure
Target Competencies
AI in mobility and transportation systems
Logistics and traffic optimization
Autonomous and connected vehicle strategy
Sustainable smart mobility leadership
Course Outline
Unit 1: AI and the Future of Transportation
Global trends in smart mobility
AI’s role in transforming transport networks
Benefits and risks of AI adoption in mobility
Case studies of intelligent transport systems
Unit 2: AI for Logistics and Fleet Optimization
Route planning with AI analytics
Reducing fuel costs and emissions with AI
Real-time fleet monitoring and predictive insights
Logistics efficiency through automation
Unit 3: Traffic Prediction and Congestion Management
Using AI for real-time traffic prediction
Smart traffic lights and adaptive systems
Reducing congestion with AI-driven strategies
Case studies from smart cities
Unit 4: Autonomous and Connected Vehicles
AI in self-driving car technology
Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) systems
Safety and ethical considerations in autonomy
Global developments in autonomous mobility
Unit 5: Building Sustainable Smart Mobility Strategies
Integrating AI into public transport systems
Policy frameworks for smart mobility adoption
Managing risks and ensuring compliance
Creating sustainable, people-centered transport solutions
Ready to drive the future of smart mobility?
Join the AI in Transportation and Smart Mobility Training Course with EuroQuest International Training and lead innovation in transportation systems.
The AI in Transportation and Smart Mobility Training Courses in Amman provide professionals with advanced knowledge and practical skills to leverage artificial intelligence for optimizing transportation systems, enhancing urban mobility, and improving operational efficiency. Designed for transport planners, smart city managers, data analysts, and technology specialists, these programs focus on integrating AI solutions to improve traffic management, route optimization, predictive maintenance, and sustainable mobility initiatives.
Participants gain a comprehensive understanding of AI applications in transportation and smart mobility, exploring key topics such as intelligent traffic control, autonomous vehicle systems, predictive analytics for maintenance and logistics, demand forecasting, and mobility-as-a-service (MaaS) solutions. The courses emphasize how AI-driven insights can enhance operational efficiency, reduce congestion, improve safety, and support strategic decision-making in urban mobility systems. Through case studies, simulations, and practical exercises, attendees learn to implement AI technologies that optimize transit networks, analyze transportation data, and improve user experiences for commuters and stakeholders.
These transportation and smart mobility AI training programs in Amman combine technical expertise with strategic planning. Participants explore emerging technologies including machine learning, computer vision for traffic monitoring, IoT-enabled connected vehicles, and automated decision support systems. The curriculum also addresses regulatory compliance, ethical considerations, and the integration of AI into sustainable urban planning frameworks, ensuring safe and efficient mobility solutions.
Attending these training courses in Amman provides professionals with access to international experts and a collaborative, interactive learning environment in a city recognized for its growing smart city and technology ecosystem. By completing this specialization, participants will be equipped to implement AI-driven transportation strategies, optimize smart mobility initiatives, and enhance operational resilience—ensuring efficient, safe, and sustainable urban mobility in today’s rapidly evolving digital and connected infrastructure landscape.